Samsung Galaxy S25 Ultra
Geekbench AI Score
527
Single Precision Score
26860
Half Precision Score
60202
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 07:41 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
21057
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
50113
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
13476
218.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
41162
669.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
123643
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
477494
558.9 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
18289
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
21590
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
40013
475.4 IPS |
|
|
Face Detection (Q)
|
97% |
132286
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
83419
642.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
142141
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1098
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98733
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
490650
632.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53376
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133224
4.94 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8040
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2976
76.7 IPS |
